Hello everyone! At Luxonis, we're always impressed by the innovative and creative ways our devices are being used by our community. That's why we want to see more! We're launching a new initiative where we're asking for photos/videos of your installs/setups using our devices. To participate, **simply upload your photos/videos in the comments below**, along with a **brief description about the application**. Our team will select a few of our favorite submissions and **reward the winners with awesome prizes**! This is a fantastic opportunity for you to **showcase your skills** and get recognized by the Luxonis community. We're looking forward to seeing the diverse and interesting setups you all have to share! Prizes for places: 1. Any device from our store - for free! 2. US$300 discount store coupon 3. US$250 discount store coupon 4. US$200 discount store coupon 5. US$150 discount store coupon Kind regards, Luxonis Team

[URL=https://i.imgur.com/dP7ELnQ.jpg][IMG]https://i.imgur.com/dP7ELnQh.jpg[/IMG][/URL] [URL=https://i.imgur.com/djPdSHu.jpg][IMG]https://i.imgur.com/djPdSHuh.jpg[/IMG][/URL] I present to you my (soon to be) autonomous drone! It’s currently under developement, the goal is to have it navigate unknown environments thanks to LiDAR sensing capabilities and depth information from the OAK-D series 2. The cameras capabilities will also be exploited for object recognition and spatial manipulation with a still to be developed gripper. So excited to keep on working with it!!

Parking lot occupancy applications are most demanded in smart cities. We at National University of Sciences and Technology (NUST) . Building a system to simply parking facilities to drivers and saving their time. and using Luxonis #OAK-D Cameras with edge ML, are best fit for this application. [URL=https://i.imgur.com/foh3W6R.png][IMG]https://i.imgur.com/foh3W6Rh.png[/IMG][/URL]

We have built a solution for safety and security applications with OAK - D - Lite as well. Including Safety Helmet Detection for Construction Industries worker safety and Face Mask Detection for pharmaceutical manufacturing industry for doctors safety as well. [URL=https://i.imgur.com/1iKm46I.png][IMG]https://i.imgur.com/1iKm46I.png[/IMG][/URL] and Won a National Level Prize as well. Project Name: *Eyes For Humanity* [URL=https://i.imgur.com/h2IOHEk.jpg][IMG]https://i.imgur.com/h2IOHEkh.jpg[/IMG][/URL] here is our OAK - D Setup as well. [URL=https://i.imgur.com/65A9HoU.jpg][IMG]https://i.imgur.com/65A9HoUh.jpg[/IMG][/URL] [URL=https://i.imgur.com/zetdtqJ.png][IMG]https://i.imgur.com/zetdtqJ.png[/IMG][/URL] [URL=https://i.imgur.com/vmWOnom.jpg][IMG]https://i.imgur.com/vmWOnomh.jpg[/IMG][/URL]

Robotic-Arm Vision for parallelization using OAK - D Please watch the video here: https://youtu.be/kEZmoyZn2u4 [URL=https://i.imgur.com/0l0pZ5J.jpg][IMG]https://i.imgur.com/0l0pZ5Jh.jpg[/IMG][/URL] [URL=https://i.imgur.com/1DWTSxg.jpg][IMG]https://i.imgur.com/1DWTSxg.jpg[/IMG][/URL]

Search and Rescue Drone using OAK - D - Pro. In this Project, we are using Raspberry Pi 4 Based Drone Coex-Clover while integrating OAK - D - Pro for complete search and rescue automation. [URL=https://i.imgur.com/CfH6zLf.jpg][IMG]https://i.imgur.com/CfH6zLfh.jpg[/IMG][/URL]

Search and Rescue Drone using OAK - D - Pro. [URL=https://i.imgur.com/Qknp2Kh.jpg][IMG]https://i.imgur.com/Qknp2Khh.jpg[/IMG][/URL]

Retail Shelf Analytics using OAK - D [URL=https://i.imgur.com/FkGFZOQ.jpg][IMG]https://i.imgur.com/FkGFZOQ.jpg[/IMG][/URL] [URL=https://i.imgur.com/4Q5gCbx.jpg][IMG]https://i.imgur.com/4Q5gCbx.jpg[/IMG][/URL]

Development of Activity Monitoring Robot using OAK - D - Lite [URL=https://i.imgur.com/ViitN4x.jpg][IMG]https://i.imgur.com/ViitN4x.jpg[/IMG][/URL]

My Next move is automating all these (see pictures below) things in my Lab[URL=https://i.imgur.com/dMdaVW6.jpg][IMG]https://i.imgur.com/dMdaVW6h.jpg[/IMG][/URL] with other versions of OAK - D. [URL=https://i.imgur.com/TGhYXYb.jpg][IMG]https://i.imgur.com/TGhYXYb.jpg[/IMG][/URL] [URL=https://i.imgur.com/EzORwV1.jpg][IMG]https://i.imgur.com/EzORwV1.jpg[/IMG][/URL] [URL=https://i.imgur.com/3jeAq35.jpg][IMG]https://i.imgur.com/3jeAq35h.jpg[/IMG][/URL] [URL=https://i.imgur.com/eCZXOvd.jpg][IMG]https://i.imgur.com/eCZXOvdh.jpg[/IMG][/URL] [URL=https://i.imgur.com/VKoNAgY.jpg][IMG]https://i.imgur.com/VKoNAgYh.jpg[/IMG][/URL] [URL=https://i.imgur.com/gIHF86G.jpg][IMG]https://i.imgur.com/gIHF86Gh.jpg[/IMG][/URL]

Introducing a cutting-edge solution for staff room management - our face recognition system powered by the Luxonis camera. This innovative system, using the OAK-D model, is designed to improve the organization and security of university departments and similar environments. The Luxonis camera, with its advanced features, offers a comprehensive solution for staff room management. The OAK-D model is equipped with object detection, face recognition, and depth sensing capabilities, all powered by AI for real-time, accurate results. The system logs the names of individuals who enter the staff room, along with the date and time of their entry. As people enter, the Luxonis camera greets them by name, adding a personalized touch. It also detects and marks the attendance of teachers, making it easier for administrators to keep track of who is present. In the event of an unknown individual entering the staff room, the Luxonis camera takes a snapshot with the date and time, allowing administrators to quickly identify potential security threats. The Luxonis camera-powered face recognition system is a versatile and efficient solution for staff room management. Whether you aim to improve organization, and security, or create a welcoming environment, the Luxonis camera has you covered. There are some pictures [URL=https://i.imgur.com/Cojf4qb.jpg][IMG]https://i.imgur.com/Cojf4qbh.jpg[/IMG][/URL] [URL=https://i.imgur.com/pZ6aKOJ.jpg][IMG]https://i.imgur.com/pZ6aKOJh.jpg[/IMG][/URL] [URL=https://i.imgur.com/pxT69hd.jpg][IMG]https://i.imgur.com/pxT69hdh.jpg[/IMG][/URL] [URL=https://i.imgur.com/BTotfx9.jpg][IMG]https://i.imgur.com/BTotfx9h.jpg[/IMG][/URL] The Red bounding box shows that it will detect persons within the red Box because we are suing only for the people who will enter from the door only.

Share Your OAK Setups and Win Prizes!

erik

Submission time is over and we would like to thank everyone who submitted photos/videos of their awesome applications! We will be picking the winners shortly.
Kind regards, Luxonis Team

erik

Results are in!

With a bit of a delay, we have decided on winners:

@ChrisVolta with tradeshow model with volume computation (post here)
@richiross with OAK-D-Lite on the drone (post here)
@NicholasLaPenn with "auto camera-man" feature with OAK (post here)
@jpickens with RPi+OAK portable depth camera (post here)
@SamiUddin with OAK on the robot hand (post here)

We would like to thank everyone that took part in the event and presented their impressive projects! To the winners, kindly send an email to support@luxonis.com to receive your rightfully earned prize.

Thanks again, Erik

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